Mining effect of Famous Chinese Medicine Doctors on Lung-cancer based on Association rules

Abstract

Traditional Chinese medicine is a treasure house of the Chinese nation. Using data mining method to study traditional Chinese medicine can summarize the experience of traditional Chinese medicine and promote the development of traditional Chinese medicine. The dose-effect relationship of traditional Chinese medicine mainly refers to that the effect of drugs changes with the dose of drugs in a certain range, and there is a great relationship between the effect produced by different combinations of drugs and the dose of drugs. With the development of data mining technology, it is widely used to study the dose-response relationship between drugs with the data of famous old traditional Chinese medicine doctor's medical record. In this paper, based on the characteristics of traditional Chinese doctor's medicine data, the Apriori algorithm is improved from the construction of the data model, so that the transaction database does not need to be converted into Boolean database in the mining, which can improve the reseracher's friendliness. The results of the excavation not only included the common drugs used by famous tra-dional Chinese medicine doctors to treat lung cancer, but also analyzed the proportional relationship between the dosage of different drugs. To provide a reference for clinical researchers in the actual use of drugs between the proportion of the relationship.